Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Giovanna Maria Dimitri"'
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31648- (2024)
The agricultural sector, in particular viticulture, is highly susceptible to variations in the environment, crop conditions, and operational factors. Effectively managing these variables in the field necessitates observation, measurement, and respons
Externí odkaz:
https://doaj.org/article/3f1e6b597d994ebcb2c43865e102d27f
Autor:
Federico Vozzi, Luca Pedrelli, Giovanna Maria Dimitri, Alessio Micheli, Elisa Persiani, Marcello Piacenti, Andrea Rossi, Gianluca Solarino, Paolo Pieragnoli, Luca Checchi, Giulio Zucchelli, Lorenzo Mazzocchetti, Raffaele De Lucia, Martina Nesti, Pasquale Notarstefano, Maria Aurora Morales
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25404- (2024)
Artificial Intelligence (AI) applications and Machine Learning (ML) methods have gained much attention in recent years for their ability to automatically detect patterns in data without being explicitly taught rules. Specific features characterise th
Externí odkaz:
https://doaj.org/article/5d4ba3efa54845fa8a4af91b214a9129
Publikováno v:
PLoS ONE, Vol 19, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/7ecfb41d9dba49a2a578d0bdb48636a5
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract In 2021 almost 300 mm of rain, nearly half of the average annual rainfall, fell near Catania (Sicily Island, Italy). Such events took place in just a few hours, with dramatic consequences on the environmental, social, economic, and health sy
Externí odkaz:
https://doaj.org/article/31081ee0d9c740dca46cb2441c11f4f2
Speech emotion recognition with artificial intelligence for contact tracing in the COVID‐19 pandemic
Publikováno v:
Cognitive Computation and Systems, Vol 5, Iss 1, Pp 71-85 (2023)
Abstract If understanding sentiments is already a difficult task in human‐human communication, this becomes extremely challenging when a human‐computer interaction happens, as for instance in chatbot conversations. In this work, a machine learnin
Externí odkaz:
https://doaj.org/article/9ae4990faa684b47a0b7c680c6cd64b2
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 781 (2024)
The current image generative models have achieved a remarkably realistic image quality, offering numerous academic and industrial applications. However, to ensure these models are used for benign purposes, it is essential to develop tools that defini
Externí odkaz:
https://doaj.org/article/121fa31ce08344f6b757a4bde491464c
Autor:
Elisa Zago, Alessandra Dal Molin, Giovanna Maria Dimitri, Luciano Xumerle, Chiara Pirazzini, Maria Giulia Bacalini, Maria Giovanna Maturo, Tiago Azevedo, Simeon Spasov, Pilar Gómez-Garre, María Teresa Periñán, Silvia Jesús, Luca Baldelli, Luisa Sambati, Giovanna Calandra-Buonaura, Paolo Garagnani, Federica Provini, Pietro Cortelli, Pablo Mir, Claudia Trenkwalder, Brit Mollenhauer, Claudio Franceschi, Pietro Liò, Christine Nardini, PROPAG-AGEING Consortium
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Advanced age represents one of the major risk factors for Parkinson’s Disease. Recent biomedical studies posit a role for microRNAs, also known to be remodelled during ageing. However, the relationship between microRNA remodelling and agei
Externí odkaz:
https://doaj.org/article/82903a0acbcd4727b21688b985baad99
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279040 (2023)
The automotive market is experiencing, in recent years, a period of deep transformation. Increasingly stricter rules on pollutant emissions and greater awareness of air quality by consumers are pushing the transport sector towards sustainable mobilit
Externí odkaz:
https://doaj.org/article/bc498502255c44cb9f97db7a4bed83fa
Publikováno v:
npj Systems Biology and Applications, Vol 7, Iss 1, Pp 1-13 (2021)
Abstract Here, we performed a comprehensive intra-tissue and inter-tissue multilayer network analysis of the human transcriptome. We generated an atlas of communities in gene co-expression networks in 49 tissues (GTEx v8), evaluated their tissue spec
Externí odkaz:
https://doaj.org/article/9a69e4735721400da7d906b6896f785e
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 267 (2022)
Employee attrition is a major problem that causes many companies to incur in significant costs to find and hire new personnel. The use of machine learning and artificial intelligence methods to predict the likelihood of resignation of an employee, an
Externí odkaz:
https://doaj.org/article/7151c0e98bf94fc7b89b2d68bede7ed8